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Measure Theory and Probability (The Wadsworth & Brooks/Cole Mathematics Series (Closed)) - Hardcover
Synopsis
Designed for the undergraduate student, this text presents measure theory and integration from the perspective of probability theory.
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Review
"...the text is user friendly to the topics it considers and should be very accessible...Instructors and students of statistical measure theoretic courses will appreciate the numerous informative exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students."―The Journal of the American Statistical Association
From the Back Cover
Measure theory and integration are presented to undergraduates from the perspective of probability theory. The first chapter shows why measure theory is needed for the formulation of problems in probability, and explains why one would have been forced to invent Lebesgue theory (had it not already existed) to contend with the paradoxes of large numbers. The measure-theoretic approach then leads to interesting applications and a range of topics that include the construction of the Lebesgue measure on R [superscript n] (metric space approach), the Borel-Cantelli lemmas, straight measure theory (the Lebesgue integral). Chapter 3 expands on abstract Fourier analysis, Fourier series and the Fourier integral, which have some beautiful probabilistic applications: Polya's theorem on random walks, Kac's proof of the Szegö theorem and the central limit theorem. In this concise text, quite a few applications to probability are packed into the exercises.
"...the text is user friendly to the topics it considers and should be very accessible...Instructors and students of statistical measure theoretic courses will appreciate the numerous informative exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students."―The Journal of the American Statistical Association
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Measure Theory and Probability (The Wadsworth & Brooks/Cole Mathematics Series)
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Condition: Fine. First edition, first printing, 203 pp., Hardcover, fine in a worn dust jacket. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1190167
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Measure Theory and Probability (The Wadsworth & Brooks/Cole Mathematics Series)
Seller: Affordable Collectibles, Columbia, MO, U.S.A.
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Hardcover. Condition: Fair. NO dust jacket. X_Library copy with light wear. I found no text marks. First printing number line. Seller Inventory # 26070442
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Measure Theory and Probability (The Wadsworth & Brooks/Cole Mathematics Series)
Seller: Manitou Books, Manitou Springs, CO, U.S.A.
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Hardcover. Condition: Good. Dust Jacket Condition: Fair. 1st Edition. First Printing with full number line 1-10. Prior owner's name written on top corner of front flyleaf. Otherwise inside is clean and unmarked. Some wear and rippling at the top of some pages (see photo 4 for example). Light smudging on fore-edge of book block. Wear on corners of book boards. Dust jacket has yellowing. Dust jacket has tears and edges. Dust jacket has fading. See photos. Seller Inventory # ABE-1785420044315